Hash-chained memory for AI coding sessions — decisions, coordination, and doctrine across sessions. Deterministic core; optional LLM assist.
A Claude Code plugin that turns AI-assisted work into a shared living ontology. Captures decisions, conventions, and context autonomously into typed, interlinked knowledge nodes (git-committed markdown). Navigate the ontology as a graph, trace conceptual paths between ideas, and catch doc-code drift before every commit.
Local-first operating memory for AI coding agents - Claude Code, Codex, and any MCP client. Tracks decisions and their evolution. SQLite + on-device embeddings, no cloud.
Decision version control for team vibe coding. Track business decisions, detect conflicts, and sync context across Cursor & Claude Code. Pure Git, zero infrastructure.
Agent coordination MCP server — shared blackboard, decision tracking, and context assembly
OpenCode plugin for TraceMem decision tracking and traceability.
The project brain for AI coding agents — persistent memory + sprints + decisions + KB delivered via MCP. 20 tools, MIT licensed. Works with Claude Code, Cursor, Codex, Antigravity, Gemini CLI.
Canonical Adventure Markup Language for RPGs
Decision memory for Claude Code. Automatically tracks architectural decisions, code changes, and engineering choices into TraceMem's governed audit trail.
A decision ledger for AI pair-programming — tracks every branch Claude/GPT suggests, stages them by effort, and lets you climb back to any rung you didn't take. Markdown + YAML format, works with any AI, no lock-in.
TraceMem integration for Vercel AI SDK
Always-on companion for Claude that remembers your decisions and their evolution. Local-first memory using SQLite + transformers.js embeddings.
TypeScript SDK for TraceMem - Decision tracking and traceability for AI agents and automation systems
The memory layer for your team. Mneme auto-extracts decisions, questions, and action items from AI chats — and pings you when they go stale
ArborDocs captures durable decisions from Discord chat ("let's use cursor pagination") via an LLM extraction pipeline, tracks when new decisions supersede old ones, and reconciles them against your GitHub repo to flag drift. Every decision needs human approval before going live.
Knowledge infrastructure for preserving, governing, and transforming observations, conversations, and decisions into auditable artifacts.
A local-first governance tool for recording, reviewing, and auditing decisions influenced by AI
The missing link between product decisions and code. Shared team memory for AI coding agents — auto-captures the why behind every decision and keeps PMs and engineers in sync.
Operational planning, execution, evaluation, and continuity framework for AI-Augmented engineering.
A causal debugging co-pilot that integrates GitHub, Jira, and Slack to build a knowledge graph of architectural decisions (ADRs), code changes, and team communications. Uses AI agents powered by LangChain and Claude to provide intelligent debugging assistance and decision traceability.
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